Local feature based 3D face recognition

Yonguk Lee, Hwanjong Song, Ukil Yang, Hyungchul Shin, Kwanghoon Sohn

Research output: Contribution to journalConference articlepeer-review

16 Citations (Scopus)


This paper presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics of a face. We extract three curvatures, eight invariant facial feature points and their relative features. These features are directly applied to face recognition algorithms which are a depth-based DP (Dynamic Programming) and a feature-based SVM (Support Vector Machine). Experimental results show that face recognition rates based on the depth-based DP and the feature-based SVM are 95% for 20 people and 96% for 100 people, respectively.

Original languageEnglish
Pages (from-to)909-918
Number of pages10
JournalLecture Notes in Computer Science
Publication statusPublished - 2005
Event5th International Conference on Audio - and Video-Based Biometric Person Authentication, AVBPA 2005 - Hilton Rye Town, NY, United States
Duration: 2005 Jul 202005 Jul 22

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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